Reviewer Signal Dashboard
Per-reviewer patterns, correction telemetry, and governance impact
Governance framing
Focus Reviewer behavior
Coverage 14.8%
Goal Reduce edit burden, improve placement quality
10
Total Entries Governed
5
Total Entries Placed
8
Issues with Governed Entry
14.8%
Coverage (Governed / Issues)
Per-Reviewer Metrics
| Reviewer | Total Reviewed | Approval Rate | Rejected Rate | Edited Rate | Avg Time to Review | Most Common Reason Code | Unique Assets |
|---|---|---|---|---|---|---|---|
| Demo Reviewer | 5 | 100.0% | 0.0% | 0.0% | 0.0h | — | 2 |
| Emily Vasquez | 3 | 100.0% | 0.0% | 0.0% | 0.0h | — | 2 |
| Harold McMillan | 2 | 100.0% | 0.0% | 0.0% | 0.0h | — | 2 |
Fields Edited Most Often
No field-level corrections yet
Tracks which fields reviewers most often edit during approval.
Most Common Reason Codes
No reason codes used yet
Surfaces the most common reviewer rejection or correction rationale.
Entries with Highest Edit Density
No correction density data yet
Highlights entries that needed the most reviewer edits before placement.